8 research outputs found
Stereoviews showing the anesthetic binding site of apoferritin with A) thiopental and B) pentobarbital.
<p>The hydrogen bond between the drug and Ser-27 is shown as a black dashed line. In both images the ligands are depicted as sticks; color code: carbon, yellow; nitrogen, blue; oxygen, red; and sulfur, magenta. The electron density shown is 2<i>F</i>o-<i>F</i>c density calculated from the final refined structures, contoured at sigma level of 0.8 and carved around the ligands. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone-0032070-g002" target="_blank">Figures 2</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone-0032070-g003" target="_blank">3</a> were generated using PyMOL (The PyMOL Molecular Graphics System, Schrödinger, LLC).</p
Chemical structures of selected barbiturates.
<p>Chemical structures of selected barbiturates.</p
Binding, physical, and activity data for barbiturates.
<p><i><sup>a</sup></i>Because of the low affinity of phenobarbital for apoferritin, it was not possible to obtain a satisfactory estimate of the molar binding enthalpy.</p><p><i><sup>b</sup></i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Franks2" target="_blank">[16]</a>.</p><p><i><sup>c</sup></i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Dingemanse1" target="_blank">[41]</a>.</p><p><i><sup>d</sup></i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Tomlin1" target="_blank">[42]</a>.</p><p><i><sup>e</sup></i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Yakushiji1" target="_blank">[43]</a>.</p><p><i><sup>f</sup></i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Rho1" target="_blank">[44]</a>.</p><p><i><sup>g</sup></i>Calculated using XLOGP3 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Cheng1" target="_blank">[45]</a>.</p
The packing density/affinity relationship for barbiturates is offset from that of the propofol-like compounds, interpreted here as the addition of an entropic penalty offset by new enthalpic gains.
<p>Shown is the relationship between packing volume (fraction of cavity volume occupied by ligand) and affinity (dissociation constant, <i>K</i><sub>d</sub>) for apoferritin. The filled triangles represent a series of propofol analogs, for which a linear dependence of affinity upon packing density has been documented <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032070#pone.0032070-Vedula1" target="_blank">[21]</a>. The open circles represent the barbiturates (<i>P</i>, pentobarbital; <i>T</i>, thiopental).</p
Crystallographic data collection and refinement statistics.
<p><i><sup>a</sup></i>Values in parentheses correspond to the outermost resolution shell.</p
Diverse general anesthetics utilize a common binding site in apoferritin.
<p>A) Orthogonal views of the apoferritin dimer, shown as a partially transparent molecular surface encasing a cartoon representation of the backbone. The anesthetic binding site is marked by thiopental, which is shown in a red space-filling representation. B) Stereo view showing a close-up of the anesthetic binding site, in an orientation similar to that seen in the left half of the upper panel. Four different general anesthetics are shown in ball-and-stick representations: Thiopental (yellow); propofol (magenta); isoflurane (cyan); and halothane (orange). The protein backbone is shown in blue, while selected protein side chains are shown in light gray. All four compounds, despite belonging to different chemotypes, utilize the same binding cavity, in which their positions overlap extensively.</p
A Carrier Protein Strategy Yields the Structure of Dalbavancin
Many large natural product antibiotics act by specifically
binding
and sequestering target molecules found on bacterial cells. We have
developed a new strategy to expedite the structural analysis of such
antibiotic–target complexes, in which we covalently link the
target molecules to carrier proteins, and then crystallize the entire
carrier–target–antibiotic complex. Using native chemical
ligation, we have linked the Lys-d-Ala-d-Ala binding
epitope for glycopeptide antibiotics to three different carrier proteins.
We show that recognition of this peptide by multiple antibiotics is
not compromised by the presence of the carrier protein partner, and
use this approach to determine the first-ever crystal structure for
the new therapeutic dalbavancin. We also report the first crystal
structure of an asymmetric ristocetin antibiotic dimer, as well as
the structure of vancomycin bound to a carrier–target fusion.
The dalbavancin structure reveals an antibiotic molecule that has
closed around its binding partner; it also suggests mechanisms by
which the drug can enhance its half-life by binding to serum proteins,
and be targeted to bacterial membranes. Notably, the carrier protein
approach is not limited to peptide ligands such as Lys-d-Ala-d-Ala, but is applicable to a diverse range of targets. This
strategy is likely to yield structural insights that accelerate new
therapeutic development
Photoaffinity Ligand for the Inhalational Anesthetic Sevoflurane Allows Mechanistic Insight into Potassium Channel Modulation
Sevoflurane
is a commonly used inhaled general anesthetic. Despite this, its mechanism
of action remains largely elusive. Compared to other anesthetics,
sevoflurane exhibits distinct functional activity. In particular,
sevoflurane is a positive modulator of voltage-gated <i>Shaker</i>-related potassium channels (K<sub>v</sub>1.x), which are key regulators
of action potentials. Here, we report the synthesis and validation
of azisevoflurane, a photoaffinity ligand for the direct identification
of sevoflurane binding sites in the K<sub>v</sub>1.2 channel. Azisevoflurane
retains major sevoflurane protein binding interactions and pharmacological
properties within <i>in vivo</i> models. Photoactivation
of azisevoflurane induces adduction to amino acid residues that accurately
reported sevoflurane protein binding sites in model proteins. Pharmacologically
relevant concentrations of azisevoflurane analogously potentiated
wild-type K<sub>v</sub>1.2 and the established mutant K<sub>v</sub>1.2 G329T. In wild-type K<sub>v</sub>1.2 channels, azisevoflurane
photolabeled Leu317 within the internal S4–S5 linker, a vital
helix that couples the voltage sensor to the pore region. A residue
lining the same binding cavity was photolabeled by azisevoflurane
and protected by sevoflurane in the K<sub>v</sub>1.2 G329T. Mutagenesis
of Leu317 in WT K<sub>v</sub>1.2 abolished sevoflurane voltage-dependent
positive modulation. Azisevoflurane additionally photolabeled a second
distinct site at Thr384 near the external selectivity filter in the
K<sub>v</sub>1.2 G329T mutant. The identified sevoflurane binding
sites are located in critical regions involved in gating of K<sub>v</sub> channels and related ion channels. Azisevoflurane has thus
emerged as a new tool to discover inhaled anesthetic targets and binding
sites and investigate contributions of these targets to general anesthesia